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Process-morphology scaling relations quantify self-organization in capillary densified nanofiber arrays

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Abstract

Capillary-mediated densification is an inexpensive and versatile approach to tune the application-specific properties and packing morphology of bulk nanofiber (NF) arrays, such as aligned carbon nanotubes. While NF length governs elasto-capillary self-assembly, the geometry of cellular patterns formed by capillary densified NFs cannot be precisely predicted by existing theories. This originates from the recently quantified orders of magnitude lower than expected NF array effective axial elastic modulus (E), and here we show via parametric experimentation and modeling that E determines the width, area, and wall thickness of the resulting cellular pattern. Both experiments and models show that further tuning of the cellular pattern is possible by altering the NF–substrate adhesion strength, which could enable the broad use of this facile approach to predictably pattern NF arrays for high value applications.

Graphical abstract: Process-morphology scaling relations quantify self-organization in capillary densified nanofiber arrays

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Publication details

The article was received on 09 Oct 2017, accepted on 02 Jan 2018 and first published on 02 Jan 2018


Article type: Communication
DOI: 10.1039/C7CP06869G
Citation: Phys. Chem. Chem. Phys., 2018, Advance Article
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    Process-morphology scaling relations quantify self-organization in capillary densified nanofiber arrays

    A. L. Kaiser, I. Y. Stein, K. Cui and B. L. Wardle, Phys. Chem. Chem. Phys., 2018, Advance Article , DOI: 10.1039/C7CP06869G

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